Rating application for PyFB project
Project description
Rating application for PyFB project
Documentation
The full documentation is at https://pyfb-rating.readthedocs.io.
Quickstart
Install pyfb-rating:
pip install pyfb-rating
Add it to your INSTALLED_APPS:
INSTALLED_APPS = (
...
'pyfb_rating.apps.PyfbRatingConfig',
...
)
Add pyfb-rating’s URL patterns:
from pyfb_rating import urls as pyfb_rating_urls
urlpatterns = [
...
url(r'^', include(pyfb_rating_urls)),
...
]
Features
TODO
Running Tests
Does the code actually work?
source <YOURVIRTUALENV>/bin/activate (myenv) $ pip install tox (myenv) $ tox
Credits
Tools used in rendering this package:
History
0.11.2 (2019-05-20)
Bug : correct discount model.
0.11.0 (2018-12-21)
Add ratecard allocation to customer.
0.10.0 (2018-12-20)
Some corrections.
0.9.0 (2018-12-05)
First release on PyPI.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyfb-rating-0.11.2.tar.gz
(21.6 kB
view hashes)
Built Distribution
Close
Hashes for pyfb_rating-0.11.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64fe0cb4b6949b63d17b88bef9ef70748bf69551e730437b605297e9e140b085 |
|
MD5 | 83a73b3c5940472accf2da709ee33776 |
|
BLAKE2b-256 | abd5ea1eb1aae5854d9bea26fc74338cc39723e7a89c8f7dc60ba9604f884753 |